CN121040117A

CN121040117A - A communication method, communication device and storage medium

Info

Publication number: CN121040117A
Application number: CN202480026657.7A
Authority: CN
Inventors: 杨星
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2024-04-03
Filing date: 2024-04-03
Publication date: 2025-11-28
Also published as: WO2025208507A1

Abstract

This disclosure proposes a communication method, device, and storage medium, executed by a terminal. The method includes: acquiring first information, which is an inference result output by a first model, the inference result including the degree of closeness between the predicted measurement value and the actual value of a first cell and/or a first beam; and determining, based on the first information, whether to perform a measurement on the first cell and/or the first beam. This can reduce the amount of measurement (e.g., reduce the types of measurements and/or reduce the number of measurements) while improving the accuracy of the measurements.

Description

Communication method, communication equipment and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a communications method, a communications device, and a storage medium.

Background

In the field of communication technology, predictions and inferences can be made using artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) models. However, the reliability of the prediction and reasoning results of the AI model is low, which may cause the network to schedule wrong resources or switch to wrong cells, resulting in system performance degradation.

Disclosure of Invention

The present disclosure proposes a communication method, a communication device, a storage medium.

According to a first aspect of the embodiments of the present disclosure, a communication method is provided and executed by a terminal, where the method includes obtaining first information, where the first information is an inference result output by a first model, and the inference result includes a degree of proximity between a predicted measurement value and a true value of a first cell and/or a first beam, and determining whether to measure the first cell and/or the first beam based on the first information.

In the method, the first model can be adopted to infer the first cell and/or the first beam, so that the measurement accuracy can be improved, and the first information is used to determine whether to measure the first cell and/or the first beam, for example, when the first information indicates that the predicted measurement value is close to the actual value, the measurement of the first cell and/or the first beam is not needed, and the measurement quantity can be reduced (for example, the measurement type is reduced and/or the measurement frequency is reduced).

According to a second aspect of the embodiments of the present disclosure, a terminal is provided, which includes a processing module configured to obtain first information, where the first information is an inference result output by a first model, and the inference result includes a degree of closeness between a predicted measurement value and a true value of a first cell and/or a first beam, and determine whether to measure the first cell and/or the first beam based on the first information.

According to a third aspect of embodiments of the present disclosure, a communication device is presented, wherein the communication device comprises one or more processors, wherein the one or more processors are configured to invoke instructions to cause the communication device to perform the method as described in any of the first aspects of the present disclosure or to perform the method as described in any of the second aspects of the present disclosure.

According to a fourth aspect of embodiments of the present disclosure, a storage medium is presented, which stores instructions that, when run on a communication device, cause the communication device to perform a method as in the first aspect.

According to a fifth aspect of embodiments of the present disclosure, a computer program product is presented, characterized by comprising a computer program which, when executed by a processor, implements the method of any of the embodiments of the first aspect of the present disclosure.

Drawings

The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

Fig. 1 is a schematic architecture diagram of some communication systems provided in embodiments of the present disclosure;

FIG. 2 is an interaction diagram of a communication method according to an embodiment of the disclosure;

FIGS. 3 a-3 c are flow diagrams of some communication methods provided by embodiments of the present disclosure;

Fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present disclosure;

FIG. 5a is a schematic diagram of a communication device according to one embodiment of the present disclosure;

fig. 5b is a schematic structural diagram of a chip according to an embodiment of the disclosure.

Detailed Description

The embodiment of the disclosure provides a communication method, communication equipment, a communication system and a storage medium.

In a first aspect, an embodiment of the present disclosure provides a communication method, which is executed by a terminal, where the method includes obtaining first information, where the first information is an inference result output by a first model, and the inference result includes a degree of closeness between a predicted measurement value and a true value of a first cell and/or a first beam, and determining whether to measure the first cell and/or the first beam based on the first information.

In the above embodiment, the first model may be used to infer the first cell and/or the first beam, the measurement amount may be reduced (for example, the kind of measurement may be reduced and/or the number of measurements may be reduced), and by determining whether to measure the first cell and/or the first beam based on the first information, an improvement in accuracy of measurement may be achieved.

With reference to some embodiments of the first aspect, in some embodiments, determining whether to measure the first cell and/or the first beam based on the first information includes determining to skip measuring the first cell and/or the first beam if the first information does not satisfy the first condition.

In the above embodiment, it may be determined by the first information whether to measure the first cell and/or the first beam, for example, in a case where the first information does not satisfy the first condition, measurement may be skipped on the first cell and/or the first beam, and it may be possible to improve accuracy of measurement while reducing the measurement amount (for example, reducing the kind of measurement and/or reducing the number of measurements).

With reference to some embodiments of the first aspect, in some embodiments, the method further includes sending second information to the network device, the second information including a predicted measurement value and a first indication, the first indication indicating that the predicted measurement value is inferred by the first model, and/or the first indication indicating the first information.

The first indication may, for example, indicate that the predicted measurement is inferred, or that the predicted measurement is close to the actual value. For example, when the proximity of the predicted measurement value to the actual value (i.e., the first information) is high (or a certain condition is met), meaning that no more measurements need to be made on the cell or beam, the terminal may send the predicted measurement value, an indication that the predicted measurement value is inferred, and/or the proximity of the predicted measurement value to the actual value to the network device.

By way of example, the "the first indication is used to indicate the first information" may mean that the terminal may carry the value of the first information in the first indication and send it to the network device, or that the first indication is the first information, meaning that the terminal may send the first information directly to the network device.

In the above embodiment, the report of the predicted measurement value may be implemented.

With reference to some embodiments of the first aspect, in some embodiments, determining whether to measure the first cell and/or the first beam based on the first information includes determining to measure the first cell and/or the first beam if the first information satisfies a first condition, resulting in an actual measurement result.

With reference to some embodiments of the first aspect, in some embodiments, the method further includes sending third information to the network device, the third information including an actual measurement result and a second indication, the second indication indicating that the actual measurement result is obtained by measurement.

In the above embodiment, reporting of the measurement result may be achieved.

In combination with some embodiments of the first aspect, in some embodiments the method further comprises determining fourth information according to an indication or protocol convention of the network device, the fourth information being related to a first condition for the auxiliary terminal to determine whether to measure the first cell and/or the first beam based on the first information.

In the above embodiment, it may be determined whether to measure the first cell and/or the first beam by determining the fourth information.

With reference to some embodiments of the first aspect, in some embodiments, fourth information corresponding to different cells and/or beams is different.

In the above embodiment, the corresponding fourth information may be determined by a cell or a beam.

With reference to some embodiments of the first aspect, in some embodiments, the inference result further includes at least one of a predicted measurement value, an identification of a cell and/or beam for which the predicted measurement value is greatest.

In the above embodiment, the predicted measurement value and the identification of the cell and/or beam for which the predicted measurement value is largest may be obtained by the first model.

In combination with some embodiments of the first aspect, in some embodiments, the predicted measurement value is inferred by the terminal through a first model deployed in the terminal, or the predicted measurement value is inferred by the network device through a first model deployed in the network device, obtained by the terminal from the network device.

In the above embodiment, the predicted measurement value may be acquired.

With reference to some embodiments of the first aspect, in some embodiments, the first information includes any of confidence, accuracy, likelihood.

In the above embodiment, the first information may be determined.

In a second aspect, an embodiment of the disclosure provides a terminal, which includes a processing module configured to obtain first information, where the first information is an inference result output by a first model, and the inference result includes a degree of closeness between a predicted measurement value and a true value of a first cell and/or a first beam, and determine whether to measure the first cell and/or the first beam based on the first information.

In a third aspect, embodiments of the present disclosure provide a communication device comprising one or more processors, wherein the one or more processors are configured to invoke instructions to cause the communication device to perform the method of any of the first aspects.

In a fourth aspect, embodiments of the present disclosure provide a communication system comprising a terminal, a network device, wherein the terminal is configured to perform the method as described in the first aspect and the alternative implementation manner of the first aspect.

In a fifth aspect, embodiments of the present disclosure provide a storage medium storing computer executable instructions that, when executed by a processor, are capable of performing a method as described in the first aspect, an alternative implementation of the first aspect.

In a sixth aspect, embodiments of the present disclosure propose a computer program product, characterized by comprising a computer program which, when executed by a processor, implements the method of any one of the embodiments of the first aspect of the present disclosure.

It will be appreciated that the above-described terminal, network device, communication system, storage medium are all configured to perform the methods set forth in the embodiments of the present disclosure. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.

The embodiment of the disclosure provides a communication method, a communication device, a communication system and a storage medium. In some embodiments, terms of a communication method and an information processing method, a communication method, and the like may be replaced with each other, terms of a terminal, a network device, a communication apparatus, and the like may be replaced with each other, and terms of an information processing system, a communication system, and the like may be replaced with each other.

The embodiments of the present disclosure are not intended to be exhaustive, but rather are exemplary of some embodiments and are not intended to limit the scope of the disclosure. In the case of no contradiction, each step in an embodiment may be implemented as an independent embodiment, and the steps may be arbitrarily combined, for example, a scheme in which part of the steps are removed in an embodiment may also be implemented as an independent embodiment, the order of the steps may be arbitrarily exchanged in an embodiment, further, alternative implementations in an embodiment may be arbitrarily combined, further, the embodiments may be arbitrarily combined, for example, part or all of the steps of different embodiments may be arbitrarily combined, and an embodiment may be arbitrarily combined with alternative implementations of other embodiments.

In the various embodiments of the disclosure, terms and/or descriptions of the various embodiments are consistent throughout the various embodiments and may be referenced to each other in the absence of any particular explanation or logic conflict, and features from different embodiments may be combined to form new embodiments in accordance with their inherent logic relationships.

The terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure.

In the presently disclosed embodiments, elements that are referred to in the singular, such as "a," "an," "the," "said," etc., may mean "one and only one," or "one or more," "at least one," etc., unless otherwise indicated. For example, where an article (article) is used in translation, such as "a," "an," "the," etc., in english, a noun following the article may be understood as a singular expression or as a plural expression.

In the presently disclosed embodiments, "plurality" refers to two or more.

In some embodiments of the present invention, in some embodiments, the terms "at least one (at least one of)", "one or more (one or more)", "multiple (a pluralism of)", and the like may be substituted for each other.

Description means such as "A, B, C.," a and/or B and/or C., "and the like in the embodiments of the present disclosure include the case where any one of A, B, C.,. Any combination of any plurality of A, B, C.,. Any of which may exist alone, for example," at least one of A, B, C "includes the case where a alone, B alone, C, A and B alone, a and C alone, B and C alone, and a and B and C alone, and for example, a and/or B includes the case where a alone, B, A and B alone.

In some embodiments, the recitations of "in one case A, in another case B", "in response to one case A", "in response to another case B", and the like, may include the following, depending on the circumstances, that A is performed independently of B, i.e., in some embodiments, A is performed independently of A, B is performed independently of A, i.e., in some embodiments, B, A and B are selectively performed, i.e., in some embodiments, selected from A and B, and both A and B are performed, i.e., in some embodiments, A and B. Similar to the above when there are more branches such as A, B, C.

The prefix words "first", "second", etc. in the embodiments of the present disclosure are only for distinguishing different description objects, and do not limit the location, order, priority, number, content, etc. of the description objects, and the statement of the description object refers to the claims or the description of the embodiment context, and should not constitute unnecessary limitations due to the use of the prefix words. For example, if the description object is a "field", the ordinal words before the "field" in the "first field" and the "second field" do not limit the position or the order between the "fields", and the "first" and the "second" do not limit whether the "fields" modified by the "first" and the "second" are in the same message or not. For another example, describing an object as "level", ordinal words preceding "level" in "first level" and "second level" do not limit priority between "levels". As another example, the number of descriptive objects is not limited by ordinal words, and may be one or more, taking "first device" as an example, where the number of "devices" may be one or more. Further, the objects modified by different prefix words may be the same or different, for example, the description object is a "device", the "first device" and the "second device" may be the same device or different devices, the types of which may be the same or different, and, further, the description object is an "information", the "first information" and the "second information" may be the same information or different information, and the contents thereof may be the same or different.

In some embodiments, "comprising a", "containing a", "for indicating a", "carrying a", may be interpreted as carrying a directly, or as indicating a indirectly.

In some embodiments, the terms "responsive to" and "responsive to determining" and "in the case of" in the first place "," when "," when "and" if "and the like may be substituted for each other.

In some embodiments, terms "greater than", "greater than or equal to", "not less than", "more than or equal to", "not less than", "above" and the like may be interchanged, and terms "less than", "less than or equal to", "not greater than", "less than or equal to", "not more than", "below", "lower than or equal to", "no higher than", "below" and the like may be interchanged.

In some embodiments, an apparatus or the like may be interpreted as an entity, or may be interpreted as a virtual, and the names thereof are not limited to the names described in the embodiments, "apparatus," "device," "circuit," "network element," "node," "function," "unit," "section," "system," "network," "chip system," "entity," "body," and the like may be replaced with each other.

In some embodiments, "access network device (access network device, AN device)", "radio access network device (radio access network device, RAN DEVICE)", "Base Station (BS)", "radio base station (radio base station)", "fixed station (fixed station)", "node", "access point", "transmission point (transmission point, TP)", "Reception Point (RP)", "transmission reception point/reception point (TRP)", "panel", "antenna panel (ANTENNA PANEL)", "antenna array (ANTENNA ARRAY)", "cell", "macrocell (macro cell)", "microcell (SMALL CELL)", "microcell (pico cell)", "sector (sector)", "cell group (femto cell)", "carrier", "component (carrier)", "component (62", "bandwidth, and the like.

In some embodiments, terms such as "terminal" (terminal) "," terminal device (TERMINAL DEVICE) "," User Equipment (UE) "," user terminal "(MS)", "Mobile Station (MS)", mobile Terminal (MT) ", subscriber station (subscriber station), mobile unit (mobile unit), subscriber unit (subsumer unit), wireless unit (wireless unit), remote unit (remote unit), mobile device (mobiledevice), wireless device (WIRELESS DEVICE), wireless communication device (wireless communication device), remote device (remote device), mobile subscriber station (mobile subscriber station), access terminal (ACCESS TERMINAL), mobile terminal (mobile terminal), wireless terminal (WIRELESS TERMINAL), remote terminal (remote terminal), handheld device (handset), mobile agent (user agent), mobile client (mobile client), client (client), and the like may be substituted for one another.

In some embodiments, the access network device, core network device, or network device may be replaced with a terminal. For example, the embodiments of the present disclosure may also be applied to a configuration in which communication between an access network device, a core network device, or a network device and a terminal is replaced with communication between a plurality of terminals (for example, may also be referred to as device-to-device (D2D), vehicle-to-everything (V2X), or the like). In this case, the terminal may have all or part of the functions of the access network device. Further, the language such as "uplink" and "downlink" may be replaced with a language (for example, "side") corresponding to the communication between terminals. For example, uplink channels, downlink channels, etc. may be replaced with side-uplink channels, uplink, downlink, etc. may be replaced with side-downlink channels.

In some embodiments, the terminal may be replaced with an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have all or part of the functions of the terminal.

In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "instruction", "command", "channel", "parameter", "field", "symbol", "codebook", "code word", "code point", "codepoint", "bit", "data", "program", "chip", and the like may be replaced with each other.

In some embodiments, terms such as "uplink," "physical uplink," and the like may be interchanged, terms such as "downlink," "physical downlink," and the like may be interchanged, terms such as "side," "side link," "side communication," "side link," "direct link," and the like may be interchanged.

In some embodiments, terms such as "downlink control information (downlink control information, DCI)", "Downlink (DL) assignment", "DL DCI", "Uplink (UL) grant", "UL DCI", and the like may be replaced with each other.

In some embodiments, terms of "physical downlink shared channel (physical downlink SHARED CHANNEL, PDSCH)", "DL data", etc. may be replaced with each other, and terms of "Physical Uplink Shared Channel (PUSCH)", "UL data", etc. may be replaced with each other.

In some embodiments, terms such as "radio," "wireless," "radio access network," "RAN," and "RAN-based" may be used interchangeably.

In some embodiments, terms of "synchronization signal (synchronization signal, SS)", "synchronization signal block (synchronization signal block, SSB)", "reference signal (REFERENCE SIGNAL, RS)", "pilot signal", and the like may be substituted for each other.

In some embodiments, terms such as "time of day," "point of time," "time location," and the like may be interchanged, and terms such as "duration," "period," "time window," "time," and the like may be interchanged.

In some embodiments, "acquire," "obtain," "receive," "transmit," "bi-directional transmit," "send and/or receive" may be used interchangeably and may be interpreted as receiving from other principals, acquiring from a protocol, processing itself, autonomous implementation, etc.

In some embodiments, terms such as "send," "transmit," "report," "send," "transmit," "bi-directional," "send and/or receive," and the like may be used interchangeably.

In some embodiments, "predetermined", "preset" may be interpreted as being predefined in a protocol or the like, or as a preset action by a device or the like.

In some embodiments, determining (determining) may be interpreted as judging, deciding (judging), calculating (computing), processing (considering), exporting (deriving), investigating (INVESTIGATING), searching, finding (looking up), retrieving (search), querying (query), confirming (ASCERTAINING), receiving (receiving), sending (transmitting), inputting (input), outputting (output), accessing (accessing), resolving (resolving), selecting (selecting), selecting (choosing), establishing (establishing), comparing (comparing), "assuming (assuming)", "expecting (expecting)", "seeing (considering), broadcasting (broadcasting), notifying (notifying), communicating (communicating), forwarding (forwarding), configuring (reconfiguring), assigning (allocating), mapping (mapping), dispatching (assigning), and the like, but is not limited thereto.

In some embodiments, the determination or judgment may be performed by a value (0 or 1) expressed in1 bit, may be performed by a true-false value (boolean) expressed in true (true) or false (false), or may be performed by a comparison of values (e.g., a comparison with a predetermined value), but is not limited thereto.

In some embodiments, a "network" may be interpreted as an apparatus (e.g., access network device, core network device, etc.) contained in a network.

In some embodiments, "not expecting to receive" may be interpreted as not receiving on time domain resources and/or frequency domain resources, or as not performing subsequent processing on data or the like after it is received, or "not expecting to transmit" may be interpreted as not transmitting, or as transmitting but not expecting the receiver to respond to the transmitted content.

In some embodiments, the acquisition of data, information, etc. may comply with laws and regulations of the country of locale.

In some embodiments, data, information, etc. may be obtained after user consent is obtained. In order to solve the above-mentioned problem, the present disclosure proposes a communication method, a communication apparatus, a communication system, and a storage medium.

Fig. 1 is a schematic architecture diagram of a communication system shown in accordance with an embodiment of the present disclosure. As shown in fig. 1, a communication system 100 may include a terminal 101 and a network device 102.

For example, an AI model may be deployed on a terminal provided by the present disclosure, and is used to infer a cell or a beam, so as to obtain an inference result, i.e., first information.

For example, an AI model may be deployed on a network device proposed by the present disclosure, to infer a cell or a beam, so as to obtain an inference result, i.e., first information.

In the above embodiment, the terminal may acquire the first information, for example, the terminal may acquire the first information from an AI model deployed on the terminal, or may also acquire the first information from an AI model deployed on the network device.

In some embodiments, the terminal includes at least one of, but is not limited to, a mobile phone, a wearable device, an internet of things device, a communication enabled automobile, a smart car, a tablet (Pad), a computer with wireless transceiving functionality, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in unmanned-drive (self-drive), a wireless terminal device in teleoperation (remote medical surgery), a wireless terminal device in smart grid (SMART GRID), a wireless terminal device in transportation security (transportation safety), a wireless terminal device in smart city (SMART CITY), a wireless terminal device in smart home (smart home), for example.

In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network, and the access network device may include at least one of an evolved NodeB (eNB), a next generation evolved NodeB (next generation eNB, ng-eNB), a next generation NodeB (next generation NodeB, gNB), a NodeB (node B, NB), a Home NodeB (HNB), a home NodeB (home evolved nodeB, heNB), a wireless backhaul device, a radio network controller (radio network controller, RNC), a base station controller (base station controller, BSC), a base transceiver station (base transceiver station, BTS), a baseband unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open base station (Open RAN), a Cloud base station (Cloud RAN), a base station in other communication systems, a wireless fidelity (WIRELESS FIDELITY, wiFi) system, but is not limited thereto.

In some embodiments, the technical solutions of the present disclosure may be applied to an Open RAN architecture, where an access network device or an interface in an access network device according to the embodiments of the present disclosure may become an internal interface of the Open RAN, and flow and information interaction between these internal interfaces may be implemented by using software or a program.

In some embodiments, the access network device may be composed of a Central Unit (CU) and a Distributed Unit (DU), where the CU may also be referred to as a control unit (control unit), and the structure of the CU-DU may be used to split the protocol layers of the access network device, where functions of part of the protocol layers are centrally controlled by the CU, and functions of the rest of all the protocol layers are distributed in the DU, and the DU is centrally controlled by the CU, but is not limited thereto.

In some embodiments, the core network device may be a device, including one or more network elements, or may be a plurality of devices or groups of devices, each including all or part of one or more network elements. The network element may be virtual or physical. The core network comprises, for example, at least one of an evolved packet core (Evolved Packet Core, EPC), a 5G core network (5G Core Network,5GCN), a next generation core (Next Generation Core, NGC).

In some embodiments, the one or more network elements may include AMF, UPF, MME, for example, and may include other network elements, such as policy control functions (Policy Control Function, PCF), application functions (Application Function, AF), network application functions (network application function, NAF), application layer Authentication and key management anchor functions (Authentication AND KEY MANAGEMENT for Applications Anchor Function, AAnF), bootstrap server functions (Bootstrapping Server Functionality, BSF), session management functions (Session Management Function, SMF), and the like.

It may be understood that, the communication system described in the embodiments of the present disclosure is for more clearly describing the technical solutions of the embodiments of the present disclosure, and is not limited to the technical solutions provided in the embodiments of the present disclosure, and those skilled in the art can know that, with the evolution of the system architecture and the appearance of new service scenarios, the technical solutions provided in the embodiments of the present disclosure are applicable to similar technical problems.

The embodiments of the present disclosure described below may be applied to the communication system 100 shown in fig. 1, or a part of the main body, but are not limited thereto. The respective bodies shown in fig. 1 are examples, and the communication system may include all or part of the bodies in fig. 1, or may include other bodies than fig. 1, and the number and form of the respective bodies are arbitrary, and the connection relationship between the respective bodies is examples, and the respective bodies may be not connected or may be connected, and the connection may be arbitrary, direct connection or indirect connection, or wired connection or wireless connection.

Embodiments of the present disclosure may be applied to long term evolution (Long Term Evolution, LTE), LTE-Advanced (LTE-a), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, fourth generation mobile communication system (4th generation mobile communication system,4G)), fifth generation mobile communication system (5th generation mobile communication system,5G), 5G New air interface (New Radio, NR), future Radio access (Future Radio Access, FRA), new Radio access technology (New-Radio Access Technology, RAT), new Radio (New Radio, NR), new Radio access (New Radio access, NX), future generation Radio access (Future generation Radio access, FX), global System for Mobile communications (GSM (registered trademark)), CDMA2000, ultra mobile broadband (Ultra Mobile Broadband, UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, ultra-WideBand (UWB), bluetooth (registered trademark)), land public mobile network (Public Land Mobile Network, PLMN) network, device-to-Device (D2D) system, machine-to-machine (Machine to Machine, M2M) system, internet of things (Internet of Things, ioT) system, vehicle-to-eventing (V2X), system utilizing other communication methods, next generation system extended based on them, and the like. In addition, a plurality of system combinations (e.g., LTE or a combination of LTE-a and 5G, etc.) may be applied.

Machine learning algorithms are one of the most important implementation methods of the current artificial intelligence technology. Machine learning can obtain a model from a large amount of training data, from which events can be predicted. In many fields, very accurate prediction results can be obtained by a model obtained through machine learning training.

Illustratively, the wireless communication network may use AI to predict and infer, enhancing the performance of the system. Training of AI models requires collection of a large amount of data, which is required for different application scenarios. The application scenario may include a mobile communication system procedure such as beam management, CSI reporting, CSI compression, positioning, handover, mobility management, radio resource management, etc.

In the beam management process, the terminal can reduce the number of the measured beams through an AI model, and the terminal or the base station can obtain the optimal beams through AI reasoning. The beam prediction includes spatial beam prediction in which a terminal can measure a small number of beams and predict measurement results of other beams according to the small number of beam measurement results, and time domain beam prediction. In time domain beam prediction, the terminal may predict future beam measurements based on historical beam measurements.

During mobility, the terminal may predict cell measurements, handover target cells, or mobility events. Where the terminal can predict future cell measurements, which can be referred to as time domain prediction. Or predicting the measurement results of unmeasured cells, may be referred to as spatial prediction. Mobility events include measurement reporting condition satisfaction, handover failure, cell residence time, radio link failure, etc.

The inference results output by the AI may correspond to an indicator indicating how well the AI determines that the inference results match the true value, which may be confidence (confidence) or accuracy (accuracy) or likelihood (probability).

However, when the terminal uses AI to reduce measurement, and the reliability of the measurement result of AI reasoning is low, if the terminal continues to use the result of AI reasoning to report measurement, it may cause network to schedule wrong resources or switch to wrong cells, resulting in system performance degradation.

In view of the above, the present disclosure proposes a communication method that can avoid degradation of system performance due to low AI reasoning reliability.

The details of the method are as follows.

Fig. 2 is an interactive schematic diagram of a communication method shown in accordance with an embodiment of the present disclosure. As shown in fig. 2, an embodiment of the present disclosure relates to a communication method, which is used in a communication system 100, where the communication system 100 may include a terminal 101 and a network device 102, and the method includes:

In step 2101, the terminal obtains first information.

In some embodiments, the predicted measurement value is inferred by the terminal through a first model deployed in the terminal, or the predicted measurement value is inferred by the network device through a first model deployed in the network device, obtained by the terminal from the network device.

In other words, the first model may be deployed at the terminal or at the network device.

In some embodiments, the terminal may obtain first information from a first model, which may be an inference result output by the first model, for example, the first model may be an AI model, which may be used to predict the first cell and/or the first beam.

In the above embodiment, the inference result includes the proximity of the predicted measurement value of the first cell and/or the first beam to the real value, i.e. the first model may determine the proximity between the predicted measurement value and the real value after obtaining the predicted measurement value of the first cell and/or the first beam.

In some embodiments, the inference results further include at least one of predicting the measurement and predicting an identification of a cell and/or beam for which the measurement is greatest.

In other words, the model may predict the first cell to obtain a predicted measurement value, such as a reference signal received power, a reference signal received quality, a signal-to-interference-plus-noise ratio, etc., of the predicted cell, and the terminal may acquire a beam identity or a cell identity with the strongest predicted signal, such as a reference signal received power of the predicted cell, using the first model, and determine a cell with the highest reference signal received power, etc., according to the predicted value.

In some embodiments, the first information may be at least one of confidence (confidence), accuracy (accuracy), likelihood (probability) for indicating how well the predicted value determined by the model matches the actual value.

In step 2102, the terminal sends second information to the network device.

The method comprises the steps of sending second information to the network device, wherein the second information comprises a predicted measured value and a first indication, the first indication is used for indicating that the predicted measured value is obtained through first model reasoning, and/or the first indication is used for indicating the first information.

In other words, the terminal may report the second information to the network device, and may report the prediction result and the first indication, that is, may report not only the predicted measurement value to the network device, but also the predicted measurement value obtained by inference through the first model when reporting the predicted measurement value to the network device.

In some embodiments, this step is an optional step, and the terminal may not report the second information.

In step 2103, the terminal determines fourth information.

In some embodiments, the fourth information may be determined according to an indication of the network device or a protocol convention, the fourth information being related to a first condition for the assisting terminal to determine whether to make measurements on the first cell and/or the first beam based on the first information.

In some embodiments, the fourth information may be any one of a first threshold, a first level.

In other words, the first threshold may be configured by a network or specified by a protocol, and the first level may be configured by a network or specified by a protocol.

In some embodiments, optionally, the first threshold may be a similarity threshold between the predicted measurement value and the actual value, and the first level may be a similarity level between the predicted measurement value and the actual value.

In some embodiments, the fourth information corresponding to different cells and/or beams is different, i.e. the fourth information corresponding to the cells and/or beams can be determined according to the identities of the cells and/or beams.

In some embodiments, the specific value of the first threshold may be determined according to the actual situation, which is not limited in this disclosure.

In some embodiments, the specific level of the first level may be determined according to actual situations, which is not limited in this disclosure.

In step 2104, the terminal determines whether to make measurements on the first cell and/or the first beam.

In some embodiments, it may be determined whether to make measurements for the first cell and/or the first beam based on the first information.

In some embodiments, in the event that the first information does not satisfy the first condition, it may be determined to skip measurement of the first cell and/or the first beam.

In some embodiments, the fourth information is related to the first condition, in particular as follows.

In some embodiments, optionally, the first condition may be that the first information is less than or equal to a first threshold, that is, when a similarity between a predicted measured value obtained by the first model and an actual value is less than or equal to the first threshold, it is determined that the first information satisfies the first condition.

In other words, when the first information does not meet the first condition, that is, the similarity between the predicted measurement value obtained by the first model and the actual value is greater than the first threshold, it is indicated that the predicted measurement value is considered to be more accurate, and measurement is not needed again, and at this time, the predicted measurement value can be directly used for reporting, and measurement on the first cell and/or the first beam can be determined to be skipped.

In some embodiments, in case the first information satisfies the first condition, it is determined to measure the first cell and/or the first beam, resulting in an actual measurement result.

In other words, when the similarity between the predicted measurement value obtained by the first model and the actual value is smaller than or equal to the first threshold, the predicted measurement value is considered to have a larger difference from the actual value, and the predicted result is inaccurate.

In some embodiments, optionally, the first condition may be that the similarity level between the predicted measured value and the actual value obtained by the first model is lower than or equal to a first level, for example, the similarity level between the predicted measured value and the actual value may be classified into a high level, a medium level and a low level, where the first level is set to be high, and when the similarity level between the predicted measured value and the actual value is lower than or equal to the first level, the predicted measured value and the actual value are considered to be greatly different, and the predicted result is inaccurate, and at this time, the first cell and/or the first beam may be measured, so as to obtain the actual measured value and report.

In the above embodiment, when the first condition is not satisfied, that is, the similarity level between the predicted measurement value and the actual value is higher than the first level, the predicted measurement value is considered to be more accurate, and measurement is not needed again, and at this time, the predicted measurement value may be directly used for reporting, and measurement on the first cell and/or the first beam may be determined to be skipped. A reduction of the measurement quantity may be achieved, which may be, for example, the kind of measurement and/or the number of measurements, etc.

In some embodiments, the first condition may be any one of the above two, for example, the first condition may be determined by determining the fourth information, for example, when the fourth information is determined to be the first threshold, the first condition may be that the first information is less than or equal to the first threshold, and when the fourth information is determined to be the first level, the first condition may be that a similarity level between a predicted measured value and an actual value obtained by the first model is less than or equal to the first level.

In step 2105, the terminal determines to measure the first cell and/or the first beam, and obtains an actual measurement result.

In some embodiments, in case the first information satisfies the first condition, it may be determined to measure the first cell and/or the first beam, resulting in an actual measurement result.

In step 2106, the terminal sends third information to the network device.

In some embodiments, the terminal may send third information to the network device, where the third information includes an actual measurement result and a second indication, where the second indication is used to indicate that the actual measurement result is obtained by measurement.

In other words, the terminal may measure the first cell and/or the first beam when it is determined that the predicted measurement value differs greatly from the actual value, obtain an actual measurement result, and report the actual measurement result to the network device. In addition, the terminal may inform the network device of the actual measurement result obtained by measurement through the second indication.

In some embodiments, this step is an optional step, and the terminal may not report the third information.

In the embodiment of the present disclosure, step 2102 is performed after step 2101, and the order of execution of the other steps is not limited.

In some embodiments, step 2103 is performed before step 2104, and the order of execution of the other steps is not limited.

Methods according to embodiments of the present disclosure may include at least one of step 2101-step 2106. For example, step 2104 may be implemented as a separate embodiment, step 2101+2102+2103+2104+2105+2106 may be implemented as a separate embodiment, step 2101+2102+2103+2104+2105 may be implemented as a separate embodiment, 2101+2102+2103+2104 may be implemented as a separate embodiment, and 2101+2103+2104 may be implemented as a separate embodiment, although not limited thereto.

Fig. 3a is a flow chart illustrating a communication method according to an embodiment of the present disclosure. As shown in fig. 3a, an embodiment of the present disclosure relates to a communication method, for a terminal, the method including:

step 3101, obtaining first information.

Alternative implementations of step 3101 may refer to alternative implementations of step 2101 of fig. 2, and other relevant parts of the embodiment referred to in fig. 2, and are not described here.

In some embodiments, the terminal 101 receives the first information transmitted by the network device 102, but is not limited thereto, and may also receive the first information transmitted by other subjects.

In some embodiments, the terminal 101 obtains the first information specified by the protocol.

In some embodiments, the terminal 101 acquires the first information from an upper layer(s).

In some embodiments, the terminal 101 processes to obtain the first information.

Step 3102, sending second information to the network device.

Alternative implementations of step 3102 may be found in alternative implementations of step 2102 of fig. 2, and other relevant parts of the embodiments related to fig. 2, which are not described here.

In some embodiments, the network device may receive the second information.

In some embodiments, the terminal may transmit the second information to the network device, but is not limited thereto, and the terminal may transmit the second information to other bodies.

Step 3103, determining fourth information.

Alternative implementations of step 3103 may be found in alternative implementations of step 2103 of fig. 2, and other associated parts of the embodiment referred to in fig. 2, and are not described in detail herein.

Step 3104, a determination is made as to whether to make measurements for the first cell and/or the first beam.

Alternative implementations of step 3104 may refer to alternative implementations of step 2104 of fig. 2, and other associated parts of the embodiment referred to in fig. 2, and are not described in detail herein.

Step 3105, determining to measure the first cell and/or the first beam, to obtain an actual measurement result.

Alternative implementations of step 3105 may refer to alternative implementations of step 2105 of fig. 2, and other associated parts of the embodiment referred to in fig. 2, and are not described in detail herein.

In some embodiments, this step is an optional step and the terminal may not make measurements on the first cell and/or the first beam.

Step 3106, transmitting third information to the network device.

Alternative implementations of step 3106 may be found in alternative implementations of step 2106 of fig. 2, as well as other associated parts of the embodiment referred to in fig. 2, and are not described in detail herein.

In some embodiments, the network device may receive the third information.

In some embodiments, the terminal may transmit the third information to the network device, but is not limited thereto, and the terminal may transmit the third information to other bodies.

Fig. 3b is a flow chart illustrating a communication method according to an embodiment of the present disclosure. As shown in fig. 3b, an embodiment of the present disclosure relates to a communication method, for a terminal, the method including:

step 3201, obtain first information.

Alternative implementations of step 3201 may refer to step 2101 of fig. 2, alternative implementations of step 3101 of fig. 3a, and other relevant parts of the embodiments related to fig. 2 and 3a, which are not described herein.

Step 3202, fourth information is determined.

Alternative implementations of step 3202 may refer to step 2103 of fig. 2, alternative implementations of step 3103 of fig. 3a, and other relevant parts of the embodiments related to fig. 2 and 3a, which are not described here again.

Step 3203, determining whether to measure the first cell and/or the first beam.

Alternative implementations of step 3203 may refer to step 2104 of fig. 2, alternative implementations of step 3104 of fig. 3a, and other relevant parts of the embodiments related to fig. 2 and 3a, which are not described here again.

Fig. 3c is a flow chart illustrating a communication method according to an embodiment of the present disclosure. As shown in fig. 3c, an embodiment of the present disclosure relates to a communication method, for a terminal, the method including:

step 3301, obtain first information.

Alternative implementations of step 3201 may refer to step 2101 of fig. 2, step 3101 of fig. 3a, alternative implementations of step 3201 of fig. 3b, and other relevant parts of the embodiments related to fig. 2, 3a, and 3b, which are not described herein.

Step 3302, determining whether to make measurements on the first cell and/or the first beam.

Alternative implementations of step 3302 may refer to step 2104 of fig. 2, step 3104 of fig. 3a, alternative implementations of step 3203 of fig. 3b, and other relevant parts of the embodiments related to fig. 2, 3a, and 3b, which are not described herein.

The following is an exemplary description of the above method.

The method shown in the embodiments of the present disclosure relates to a method for controlling measurement, and the method is specifically described below.

1. The terminal acquires the index corresponding to the inferred measurement result and determines whether to measure.

As an example, the inference result output by the AI may correspond to an indicator indicating how well the AI is determining that the inference result corresponds to a true value, which indicator may be confidence (confidence) or accuracy (accuracy) or likelihood (probability).

As an embodiment, the terminal may obtain measurement results of other beams or cells using AI reasoning from measurement results of partial beams or cells. The measurement may be a reference signal received Power (REFERENCE SIGNAL RECEIVING Power, RSRP), a reference signal received Quality (REFERENCE SIGNAL RECEIVING Quality, RSRQ), or a signal to interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR), etc.

As an embodiment, the terminal may acquire the beam identity or cell identity with the strongest signal using AI reasoning.

2. Based on 1, if the index corresponding to the AI reasoning result is higher than the first threshold, the terminal does not measure the beam or the cell corresponding to the reasoning result.

As an embodiment, the result of AI reasoning may be the measurement result of the beam or cell, or may be the ID of the strongest cell or beam.

3. Based on 2, the terminal reports the result of AI reasoning to the network, and a first indication, wherein the first indication may be one of the following:

The indication measurement result is obtained through AI reasoning;

and (5) an index corresponding to the AI reasoning result.

4. Based on 1, if the index corresponding to the AI reasoning result is lower than the second threshold, the terminal measures the beam or the cell corresponding to the reasoning result to obtain the measurement result.

5. Based on 4, the terminal reports the measured beam or the measured result of the cell to the network, and a second indication, wherein the second indication is used for indicating that the measured result is obtained through measurement.

6. Based on 1-5, the first threshold and the second threshold may be configured for the network or may be specified for the protocol.

7. Based on 6, multiple sets of first and second thresholds may be configured, each set corresponding to a beam or cell direction.

In summary, the solution of this example may obtain the inference result through the AI model, so as to reduce the measurement quantity (for example, reduce the measurement type and/or reduce the measurement frequency), determine whether to measure the beam or the cell based on the index corresponding to the inferred measurement result, improve the accuracy of predicting the beam and the cell, and avoid the system performance degradation caused by the lower reliability of AI inference.

Fig. 4 is a schematic structural diagram of a terminal 101 according to an embodiment of the present disclosure. As shown in fig. 4, the terminal 101 includes a processing module 4101 configured to obtain first information, where the first information is an inference result output by the first model, where the inference result includes a degree of proximity between a predicted measurement value and a true value of the first cell and/or the first beam, determine whether to measure the first cell and/or the first beam based on the first information, and optionally, the processing module is configured to perform at least one of steps (e.g., step 2101, step 2103, step 2104, step 2105, etc., but not limited thereto) related to the processing performed by the terminal 101 in any of the above methods.

In some embodiments, the terminal 101 further comprises a transceiver module for sending the second information to the network device.

In some embodiments, the transceiver module is further configured to send third information to the network device.

As shown in fig. 5a, the communication device 5100 includes one or more processors 5101. The processor 5101 may be a general-purpose processor or a special-purpose processor, etc., and may be a baseband processor or a central processing unit, for example. The baseband processor may be used to process communication protocols and communication data, and the central processor may be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process data for the programs. The processor 5101 is operable to invoke instructions to cause the communication device 5100 to perform any of the methods described above.

In some embodiments, the communication device 5100 further includes one or more memories 5102 for storing instructions. Alternatively, all or part of the memory 5102 may be external to the communication device 5100.

In some embodiments, the communication device 5100 further includes one or more transceivers 5103. Where the communication device 5100 includes one or more transceivers 5103, communication steps such as transmission and reception in the above-described method are performed by the transceivers 5103, and other steps are performed by the processor 5101.

In some embodiments, the transceiver may include a receiver and a transmitter, which may be separate or integrated. Alternatively, terms such as transceiver, transceiver unit, transceiver circuit, etc. may be replaced with each other, terms such as transmitter, transmitter circuit, etc. may be replaced with each other, and terms such as receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.

Optionally, the communication device 5100 further comprises one or more interface circuits 5104, the interface circuits 5104 being connected to the memory 5102, the interface circuits 5104 being operable to receive signals from the memory 5102 or other means and being operable to transmit signals to the memory 5102 or other means. For example, the interface circuit 5104 may read an instruction stored in the memory 5102 and send the instruction to the processor 5101.

The communication device 5100 in the above embodiment description may be a network device or a terminal, but the scope of the communication device 5100 described in the present disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited by fig. 5 a. The communication device may be a stand-alone device or may be part of a larger device. For example, the communication device may be 1) a stand-alone integrated circuit IC, or chip, or a system or subsystem of chips, (2) a set of one or more ICs, optionally including storage means for storing data, programs, (3) an ASIC, such as a Modem, (4) a module that may be embedded in other devices, (5) a receiver, terminal device, smart terminal device, cellular telephone, wireless device, handset, mobile unit, vehicle-mounted device, network device, cloud device, artificial smart device, etc., (6) others, etc.

Fig. 5b is a schematic structural diagram of a chip 5200 according to an embodiment of the disclosure. For the case where the communication device 5100 may be a chip or a chip system, reference may be made to a schematic structural diagram of the chip 5200 shown in fig. 5b, but is not limited thereto.

The chip 5200 includes one or more processors 5201, the processors 5201 being configured to invoke instructions to cause the chip 5200 to perform any of the above methods.

In some embodiments, the chip 5200 further includes one or more interface circuits 5202, the interface circuits 5202 being coupled to the memory 5203, the interface circuits 5202 being operable to receive signals from the memory 5203 or other device, the interface circuits 5202 being operable to transmit signals to the memory 5203 or other device. For example, the interface circuit 5202 may read an instruction stored in the memory 5203 and send the instruction to the processor 5201. Alternatively, the terms interface circuit, interface, transceiver pin, transceiver, etc. may be interchanged.

In some embodiments, the chip 5200 also includes one or more memories 5203 for storing instructions. Alternatively, all or part of the memory 5203 may be external to the chip 5200.

The present disclosure also proposes a storage medium having stored thereon instructions that, when executed on the communication device 5100, cause the communication device 5100 to perform any of the methods described above. Optionally, the storage medium is an electronic storage medium. Alternatively, the storage medium described above is a computer-readable storage medium, but is not limited thereto, and it may be a storage medium readable by other devices. Alternatively, the above-described storage medium may be a non-transitory (non-transitory) storage medium, but is not limited thereto, and it may also be a transitory storage medium.

The present disclosure also proposes a program product that, when executed by the communication device 5100, causes the communication device 5100 to perform any of the above methods. Optionally, the above-described program product is a computer program product.

The present disclosure also proposes a computer program which, when run on a computer, causes the computer to perform any of the above methods.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer programs. When the computer program is loaded and executed on a computer, the flow or functions described in accordance with the embodiments of the present disclosure are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer program may be stored in or transmitted from one computer readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means from one website, computer, server, or data center. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a solid-state disk (solid-state drive STATE DISK, SSD)), or the like.

The correspondence relationships shown in the tables in the present disclosure may be configured or predefined. The values of the information in each table are merely examples, and may be configured as other values, and the present disclosure is not limited thereto. In the case of the correspondence between the configuration information and each parameter, it is not necessarily required to configure all the correspondence shown in each table. For example, in the table in the present disclosure, the correspondence shown by some rows may not be configured. For another example, appropriate morphing adjustments, e.g., splitting, merging, etc., may be made based on the tables described above. The names of the parameters indicated in the tables may be other names which are understood by the communication device, and the values or expressions of the parameters may be other values or expressions which are understood by the communication device. When the tables are implemented, other data structures may be used, for example, an array, a queue, a container, a stack, a linear table, a pointer, a linked list, a tree, a graph, a structure, a class, a heap, a hash table, or a hash table.

Predefined in this disclosure may be understood as defining, predefining, storing, pre-negotiating, pre-configuring, curing, or pre-sintering.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

The foregoing is merely specific embodiments of the disclosure, but the protection scope of the disclosure is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the disclosure, and it is intended to cover the scope of the disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

A communication method, characterized in that the method is executed by a terminal, the method comprising:

Obtain first information, which is the inference result output by the first model, including the degree of closeness between the predicted measurement value of the first cell and/or the first beam and the true value;

Based on the first information, determine whether to measure the first cell and/or the first beam.

The method according to claim 1, wherein determining whether to measure the first cell and/or the first beam based on the first information includes:

If the first information does not meet the first condition, it is determined to skip the measurement of the first cell and/or the first beam.

The method according to claim 1 or 2, characterized in that the method further comprises:

Send a second message to the network device, the second message including the predicted measurement value and a first indication, the first indication being used to indicate that the predicted measurement value is obtained through inference from the first model, and/or, the first indication being used to indicate the first message.

The method according to any one of claims 1 to 3, characterized in that, determining whether to measure the first cell and/or the first beam based on the first information includes:

If the first information satisfies the first condition, it is determined that the first cell and/or the first beam will be measured to obtain the actual measurement results.

The method according to claim 4, characterized in that the method further comprises:

Send a third message to the network device, the third message including the actual measurement result and a second indication, the second indication being used to indicate that the actual measurement result was obtained through measurement.

The method according to any one of claims 1 to 5, characterized in that the method further comprises:

According to the instructions or protocol of the network device, a fourth piece of information is determined. The fourth piece of information is related to the first condition. The first condition is used to assist the terminal in determining whether to measure the first cell and/or the first beam based on the first information.

According to the method described in claim 6, the fourth information corresponding to different cells and/or beams is different.

The method according to any one of claims 1 to 7, characterized in that the reasoning result further includes at least one of the following:

The predicted measurement value;

The identifier of the cell and/or beam with the largest predicted measurement value.

The method according to any one of claims 1 to 8 is characterized in that the predicted measurement value is obtained by the terminal through inference by a first model deployed in the terminal, or the predicted measurement value is obtained by the terminal from a network device and obtained by the network device through inference by a first model deployed in the network device.

The method according to any one of claims 1 to 9, characterized in that the first information includes any one of the following:

Confidence level;

Accuracy;

possibility.

A terminal, characterized in that it includes a processing module for:

A communication device includes: a transceiver; a memory; and a processor connected to the transceiver and the memory, respectively, configured to control the transmission and reception of wireless signals of the transceiver by executing computer-executable instructions on the memory, and capable of implementing the method of any one of claims 1-10.

A computer storage medium, wherein the computer storage medium stores computer-executable instructions; the computer-executable instructions, when executed by a processor, are capable of implementing the method of any one of claims 1-10.